Installing TensorFlow on Ubuntu or Windows

Installing TensorFlow on Ubuntu

显卡驱动：http://developer2.download.nvidia.com/compute/cuda/8.0/secure/Prod2/local_installers/cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb?VVYITDEdoFrSfUxTepkU7DGifVqtPoiUYZrB4POIJ5p1yYDlClhIj497jSa4Q9IqIM_AxmVTMUzRhXC27wBT7Jc1ibbkbReyVsNYsgOkQL6CdVM8ge0GIk5gEj8fXCOPvaVXND-G9qf_VWHEP4kcrglzslCS2n3O_9HvsJxYT7Id6gy_NZo_YSYTQM22K66J3QrnK7K8wQmA0jA9H2JSpujxHA

Linux x64 (AMD64/EM64T) Display Driver

 

Version:	384.69
Release Date:	2017.8.22
Operating System:	Linux 64-bit
Language:	English (US)
File Size:	77.06 MB

Installing TensorFlow on Windows :

tensorflow52 win10 vs2015 编译 tensorflow1.2.0-rc0(支持GPU)

经典网络的 TensorFlow 实现资源汇总

tf-slim-mnist

https://www.tensorflow.org/install/

to install TensorFlow.

To install TensorFlow, start a terminal. Then issue the appropriate pip3 install command in that terminal.  To install the CPU-only version of TensorFlow, enter the following command:

 

C:\> pip3 install --upgrade tensorflow

To install the GPU version of TensorFlow, enter the following command:

 

C:\> pip3 install --upgrade tensorflow-gpu

Installing with Anaconda

The Anaconda installation is community supported, not officially supported.

Take the following steps to install TensorFlow in an Anaconda environment:

1. Follow the instructions on the      Anaconda download site     to download and install Anaconda.

2. Create a conda environment named tensorflow     by invoking the following command:

    

   C:> conda create -n tensorflow 

3. Activate the conda environment by issuing the following command:

    

   C:> activate tensorflow
    (tensorflow)C:>  # Your prompt should change 

4. Issue the appropriate command to install TensorFlow inside your conda     environment. To install the CPU-only version of TensorFlow, enter the     following command:

    

   (tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl 

   To install the GPU version of TensorFlow, enter the following command (on a single line):

    

   (tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl 

Validate your installation

Start a terminal.

If you installed through Anaconda, activate your Anaconda environment.

Invoke python from your shell as follows:

 

$ python

Enter the following short program inside the python interactive shell:

 

>>> import tensorflow as tf >>> hello = tf.constant('Hello, TensorFlow!') >>> sess = tf.Session() >>> print(sess.run(hello))

If the system outputs the following, then you are ready to begin writing TensorFlow programs:

 

Hello, TensorFlow!

If you are new to TensorFlow, see Getting Started with TensorFlow.

If the system outputs an error message instead of a greeting, see Common installation problems.

Common installation problems

We are relying on Stack Overflow to document TensorFlow installation problems and their remedies.  The following table contains links to Stack Overflow answers for some common installation problems. If you encounter an error message or other installation problem not listed in the following table, search for it on Stack Overflow.  If Stack Overflow doesn't show the error message, ask a new question about it on Stack Overflow and specify the tensorflow tag.

Stack Overflow Link	Error Message
41007279	[...\stream_executor\dso_loader.cc] Couldn't open CUDA library nvcuda.dll
41007279	[...\stream_executor\cuda\cuda_dnn.cc] Unable to load cuDNN DSO
42006320	ImportError: Traceback (most recent call last): File "...\tensorflow\core\framework\graph_pb2.py", line 6, in from google.protobuf import descriptor as _descriptor ImportError: cannot import name 'descriptor'
42011070	No module named "pywrap_tensorflow"
42217532	OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
43134753	The TensorFlow library wasn't compiled to use SSE instructions

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上次更新日期：四月 26, 2017